Accepted Papers

• A Novel Score Function for Ranking Interval-Valued Intuitionistic Fuzzy Values
• Hierarchical Multi-Agent Reinforcement Learning with Epistemic Priors for Scalable Communicationless Coordination
• BF-YOLOv7: Enhancing Helmet Rule Violation Detection
• Apply TF-IDF and LDA to Explore Topics and Related Trends in Electric Vehicle Reviews
• Using Meta-Learning to Predict Work-in-Progress: An Approach for Small Datasets
• Identifying frailty levels in older people through the use of smartphone applications
• Identifying Fake Reviews and Their Implications Using BERT and LDA: A Case Study of Online Shopping Website Reviews
• WeldViT: A Lightweight Network for Online Identification of Multi-Label Welding Defects
• Bayesian Optimization for Fine-Tuning an AI Solver: Application to Preventive Maintenance Scheduling Problems
• Ranking Lifelogs for Memory Recall Support
• Improving University Quality from Student Feedback with Sentiment Analysis
• Distribution Variance for Surrogate Weights in Multi-Criteria Decision Analysis
• Domain Generalization through Domain-Expert Risk Assessment
• Impact of Replay Ratios on Performance and Efficiency in Continual Learning for Skeleton-based Action Recognition
• Uncertainty-based Instance-Dependent Noisy Label Datasets Generation
• Guided by Uncertainty: Semi-supervised Domain Adaptation with Curriculum and Contrastive Learning
• DynaMIX: Sample-Efficient Multi Agent Reinforcement Learning with Multi-Step Temporal Forward Dynamics Modeling
• A Self-Adaptive Multi-Modal Cyber Threat Intelligence Framework for Securing Industrial Communication Networks
• An Enhanced Preference-Based Reinforcement Learning Framework for Autonomous System
• A Novel Task Assignment Strategy for Multi-Robot System
• Bridging the Trust Gap: Leveraging Explainable AI for Personalized E-Commerce Recommendations
• Robotic Path Optimization for Efficient Robot Movement in Harsh Environments
• A Hybrid Approach for Path Planning in Harsh Environments Combining WOA and DMSGPSO
• A Smartphone-based Early Detection and Remote Consultation System for Stroke and Dementia
• Interpretable Machine Learning for Predicting and Explaining Code Submission Outcomes in an Online Judge system
• Linking Data Meaningfully: Identifying Meaningful Keys and Foreign Keys from Data
• Reinforcement Learning based Iterated Greedy for Parallel Machine Scheduling with Weighted Earliness Tardiness
• Enhanced Optimization Space Learning: Towards Real-Time Compiler Optimization
• Evaluating Large Language Models for the Automated Generation of Software Requirements
• CAMI: A missing value imputation method based on causal discovery and self-attention
• A clustering method based on hesitant difference granularity
• Extending YOLO for Feature-Based Classification Through Numerical-to-Image Transformation
• VMD-IMF Enhanced Hyper Graph Attention Module Based Reinforcement Learning For Portfolio Optimization
• A Lightweight and Efficient Punctuation and Word Casing Prediction Model for On-Device Streaming ASR
• Exploring the Efficacy of Large Language Models in Predicting Chemical Toxicity
• MDR: An Ontology Vocabulary and Registry Service for Dataset Catalogs
• An Efficient and Cost-Effective Medicine Reminder and Dispenser System
• Automating OntoClean Ontology Verification
• Automating OntoClean - Subsumption Hierarchy Construction
• RANsomCheck: A CNN-Transformer Model for Malware Detection Based on API Call Sequences
• Splitting and Parallel Training of Dense Layer in Dueling DQN
• Possibilistic Reasoning with Fuzzy Formal Contexts: An Extended Abstract
• SYNCAD: Synchronised Yields from Narrative Cross Modal Audio and Data
• Implementation of a One-Time Random Number Generation Mechanism for Zero-Trust Networks with IoT Transmission Verification
• A-REACT: Adaptive Resampling and Active Classification for Thresholded Anomalies
• DistResampleR-Lite: Light Distributed Resampler for Imbalanced Regression Problems
• Multi-Class Semantic Segmentation of Photovoltaic Module Defects and Features: Towards Industrial Robotic Applications
• Towards Predicting Complex Carpooling Trajectories with Context-Augmented BERT-LLM in Chaotic Environments
• Comparative Analysis of Large Language Models and Machine Learning Approaches for the Detection of Dengue Fever Information from ProMED-mail Platform
• Model-based diagnosis for building systems - results of an initial feasibility study
• Leveraging Real-World Data to Predict Macrovascular Complications in Type 2 Diabetes: A Comparative Machine Learning Study
• Adaptive DRL-Based Traffic Signal Control with an Infused LSTM Prediction Model
• Teaching Practices and Effectiveness Assessment of AI Courses Assisted by Large Language Models
• Fusion in Multimodal Sentiment Analysis: A Review of Approaches and Challenges
• Evaluation of Efficient AI for the Edge: Insights from Deep Neural Networks Model Compression Techniques Applied to Occupancy Detection
• A Fast R1CS Normalization Method Based on Parameter Vectors
• LSTM-based Proactive Scheduling of Stream Applications in Edge/Cloud Environments
• MultiGAU: Real Time Sign Language Generation using Multimodal Gated Attention
• Establishing the service development strategies for digital music subscription services based on the DAA-NRM approach
• T-test-based Feature Selection on DNA Microarrays Gene Expression Data for Leukemia Classification
• Multi-Objective Energy-Efficient Scheduling in Two Stages Hybrid Flowshop under Consideration of No-wait
• Multimodal Sarcasm Detection On Vietnamese Social Media
• Fast HSIC-based tests for random processes
• Development and Performance Evaluation of a Wiring Impedance Detector for Electrical Sockets in Buildings
• Effective Virtual Force Estimation with Semi-Parametric Joint Friction Compensation for Robot Manipulators
• Enhancing Traffic Accident Detection with YOLOv5 in Smart City Road Monitoring
• Uncertainty Quantification Of Multimodal Models
• Fine-grained WEEE Product Retrieval Using Hybrid Search and Re-ranking
• Automated Issue Hierarchy Generation for Improved Automated Negotiation Outcomes
• Beyond Air Pollution Prediction: A Step to Pollution Pattern Discovery With A Novel Binary Neuro-symbolic AI Framework
• Transformer-Based UWB Positioning: Learning to Correct Ranging Errors for Autonomous Agents
• Lost in the Noise: Evading and Detecting Backdoors in Conditional Diffusion Models
• A Hybrid Knowledge-Based and Machine Learning Approach for Financial Health Prediction in Small and Medium-sized Enterprises
• MediTHIM: Temporal Hierarchical Imputation Methods for Medical Time Series
• Optimizing Feature Selection Binary Peacock Algorithm with improved movement strategy
• SkinPalNet: An Advanced Ensemble Model for Skin Cancer Diagnosis with Computer Vision Approach
• Collision Detection and Avoidance among SWARM Robots using Convolutional neural network (CNN) in Harsh Environment
• A Comprehensive Survey of Cryptography Key Management in Decentralized Identity Ecosystem
• Classification of Approval Desires and Analysis of Emotional and Linguistic Features in SNS Posts Using Generative AI
• A Strategy for Implementing Garbage Detection in Ontology Completion using Description Logics
• LLM-based MaSE, A Software Development Framework for Developing Multi-Agent Systems
• A reinforcement learning based framework to the facility layout problem
• Enhancing Ransomware Detection Using Deep Learning Models
• Enhancing Minimarket Customer Experience through YOLOv8-Powered Checkout Systems
• IoT system based on deep learning for the identification and feedback of work postures when using a computer
• CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
• Brain Tumor MRI Interpretation: Towards a Benchmark for Medical Visual Question Answering
• A Dual-Agent Framework for Condition-Based Maintenance of Production Systems
• MST-SGAN-KGQA: A Novel Approach for Industrial Knowledge Graph Quality Assessment
• Adversarial Learning Based Error Detection for Industrial Knowledge Graphs